Search Results - (((((((ant OR wants) OR ken) OR wanted) OR cantor) OR anne) OR warten) OR wants) algorithms.

There's Something about Gödel : The Complete Guide to the Incompleteness Theorem. by Berto, Francesco

Table of Contents: “…. -- 6 ... and the unsatisfied logicists, Frege and Russell -- 7 Bits of set theory -- 8 The Abstraction Principle -- 9 Bytes of set theory -- 10 Properties, relations, functions, that is, sets again -- 11 Calculating, computing, enumerating, that is, the notion of algorithm…”
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At a distance : precursors to art and activism on the Internet

Table of Contents: “…Interactive, algorithmic, networked : aesthetics of new media art / Johanna Drucker -- Immaterial material : physicality, corporality, and dematerialization in telecommunication artworks / Tilman Baumgärtel -- From representation to networks : interplays of visualities, apparatuses, discourses, territories and bodies / Reinhard Braun -- The mail art exhibition : personal worlds to cultural strategies / John Held, Jr. -- Fluxus praxis : an exploration of connections, creativity, and community / Owen F. …”
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Cognitive Electronic Warfare : An Artificial Intelligence Approach. by Haigh, Karen

Table of Contents: “…-- 1.5 Reader's Guide -- 1.6 Conclusion -- References -- 2 Objective Function -- 2.1 Observables That Describe the Environment -- 2.1.1 Clustering Environments -- 2.2 Control Parameters to Change Behavior -- 2.3 Metrics to Evaluate Performance -- 2.4 Creating a Utility Function -- 2.5 Utility Function Design Considerations -- 2.6 Conclusion -- References -- 3 ML Primer -- 3.1 Common ML Algorithms -- 3.1.1 SVMs -- 3.1.2 ANNs -- 3.2 Ensemble Methods -- 3.3 Hybrid ML -- 3.4 Open-Set Classification -- 3.5 Generalization and Meta-learning -- 3.6 Algorithmic Trade-Offs -- 3.7 Conclusion -- References -- 4 Electronic Support -- 4.1 Emitter Classification and Characterization -- 4.1.1 Feature Engineering and Behavior Characterization -- 4.1.2 Waveform Classification -- 4.1.3 SEI -- 4.2 Performance Estimation -- 4.3 Multi-Intelligence Data Fusion -- 4.3.1 Data Fusion Approaches -- 4.3.2 Example: 5G Multi-INT Data Fusion for Localization -- 4.3.3 Distributed-Data Fusion -- 4.4 Anomaly Detection -- 4.5 Causal Relationships -- 4.6 Intent Recognition -- 4.6.1 Automatic Target Recognition and Tracking -- 4.7 Conclusion -- References -- 5 EP and EA -- 5.1 Optimization -- 5.1.1 Multi-Objective Optimization -- 5.1.2 Searching Through the Performance Landscape -- 5.1.3 Optimization Metalearning -- 5.2 Scheduling -- 5.3 Anytime Algorithms -- 5.4 Distributed Optimization -- 5.5 Conclusion.…”
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Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

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Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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Smart buildings, smart communities and demand response

Table of Contents: “…Demand Response in Smart Zero Energy Buildings and Grids / Nikos Kampelis -- DR in Smart and Near-zero Energy Buildings: The Leaf Community / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- Performance of Industrial and Residential Near-zero Energy Buildings / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- HVAC Optimization Genetic Algorithm for Industrial Near-Zero Energy Building Demand Response / Nikos Kampelis, Nikolaos Sifakis, Denia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Smart Grid/Community Load Shifting GA Optimization Based on Day-ahead ANN Power Predictions / Nikos Kampelis, Elisavet Tsekeri, Denia Kolokotsa, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Conclusions and Recommendations.…”
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Discovering knowledge in data : an introduction to data mining by Larose, Daniel T.

Table of Contents: “…DISCOVERING KNOWLEDGE IN DATA -- Contents -- Preface -- 1 An Introduction to Data Mining -- 1.1 What is Data Mining? -- 1.2 Wanted: Data Miners -- 1.3 The Need for Human Direction of Data Mining -- 1.4 The Cross-Industry Standard Practice for Data Mining -- 1.4.1 Crisp-DM: The Six Phases -- 1.5 Fallacies of Data Mining -- 1.6 What Tasks Can Data Mining Accomplish? …”
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Mastering Scala machine learning by Kozlov, Alexander

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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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Artificial intelligent techniques for electric and hybrid electric vehicles

Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you by Joshi, Prateek

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Numerical models for submerged breakwaters : coastal hydrodynamics and morphodynamics by Ahmadian, Amir Sharif

Table of Contents: “…3 Literature Review and BackgroundReferences; 4 Theories and Methodologies; 4.1 Introduction; 4.2 Traditional Models for Water Waves; 4.3 New Approaches; 4.3.1 Meshless Methods; 4.3.2 Artificial Intelligence Methods; MLP Networks; Back-Propagation Algorithm; Levenberg-Marquardt Algorithm; RBF Networks; References; 5 Mathematical Modeling and Algorithm Development; 5.1 Navier-Stokes Equations; 5.2 The Turbulent Model; 5.3 Initial and Boundary Conditions; 5.4 Shallow Waters; 5.5 The Extended Mild-Slope Equation; 5.6 Boussinesq Equations; 5.7 Smoothed Particles Hydrodynamics.…”
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Compressed sensing : theory and applications

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Advanced manufacturing technology and systems : selected, peer reviewed papers from the 2012 International Conference on Advanced Manufacturing Technology and Systems (AMTS 2012),...

Table of Contents: “…A Study on Corrosion Resistance and Weatherability of Fluorocarbon Anti-Corrosion Coatings for External Surface of Ocean PlatformA Study on the Mechanical Properties of Polymer-Ceramic Composite Using Injection Moulding; An Enhanced Resolution Three-Dimensional Transformation Method Based on Discrete Wavelet Transform; An Entropy Based Analytical Model for Thermoelastic Damping in Micromechanical Resonators; An Improved Ant Colony Optimization for Large-Scale Simple Assembly Line Balancing Problem of Type-1…”
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Mechatronic Systems, Mechanics and Materials II : Selected, peer reviewed papers from the Symposium on Mechatronics Systems, Mechanics and Materials 2013, October 9-10, 2013, Jastr...

Table of Contents: “…Optimization-Supported Decision-Making in the Marine Game Environment Prediction of the Spatial Orientation of a Ship by Means of Neural Networks; Safe Ship Control Method with the Use of Ant Colony Optimization; Selected Problems of the Asynchronous Drive Control with the Three-Phase Soft-Start System; System Architecture of Mission Planning and Autonomous Surface Vessel Control; The Characteristics of the Matrix Game Sensitivity of the Safe Passing of Ships at Sea; The Comparison of Parameter Identification Methods for Fractional, Partial Differential Equation; III. …”
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Regression Analysis with Python. by Massaron, Luca, Boschetti, Alberto

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The IOC manual of emergency sports medicine

Table of Contents: “…Emergency Care at the Olympic Games / Richard Budgett -- Injury and Illness During the 2008 Summer and the 2010 Winter Olympic Games / Kathrin Steffen, Torbjørn Soligard, Lars Engebretsen -- The Medical Team Response / David McDonagh, David Zideman -- Cardiopulmonary Resuscitation on the Field of Play / Ruth Löllgen, Herbert Löllgen, David Zideman -- Cardiac Emergencies on the Field of Play / Ruth Löllgen, Herbert Löllgen, David Zideman -- Control of Hemorrhage and Infusion Management / Kenneth Wing Cheung Wu, Hiu Fai Ho -- Anaphylaxis / Andy Smith, Jerry Nolan -- Asthma and Respiratory Emergencies / Joseph Cummiskey -- Seizures and Epileptic Emergencies / Geraint Fuller -- Head Injuries / David McDonagh, Mike Loosemore -- Concussion : Onfield and Sideline Evaluation / Paul McCrory, Michael Turner -- Throat Injuries / Jonathan Hanson, Padraig B Sheeran, Brian Carlin, David Zideman -- Facial Injuries / David McDonagh, Mike Loosemore -- Eye Injuries and Other Ocular Emergencies / Sibel Kocabeyoglu, Uğur Erdener, David McDonagh -- Dental Injuries / Paul Piccinini, Anthony Clough -- Thoracic Injuries / David McDonagh, David Zideman -- Abdominal Injuries / David McDonagh, Dara Lundon -- Pelvic Injuries / Andy Smith, João Grangeiro Neto -- Spinal Injuries / Eanna Falvey, Craig Roberts -- Extremity Injuries / Michael R Carmont, David McDonagh -- Aquatic Athlete Injuries and Emergencies / Margo Mountjoy, Saul Marks -- Emergency Care of the Adolescent Athlete / Lisa M Vopat, Lyle J Micheli -- Emergency Medical Care in Paralympic Sports / Peter Van de Vliet, Mike Wilkinson -- Cold Injuries / Ken Zafren, Gordon Giesbrecht, David McDonagh -- Severe Dehydration and Exertional Heat Illness / Eunice M Singletary -- Hypo- and Hyperglycemia / Kathryn E Ackerman, David McDonagh -- Wound Care / David McDonagh, Sally Whitmore -- The Role of the Paramedic on the Field of Play / Mike Nolan, David Whitmore -- The Role of the Physiotherapist on the Field of Play / Mark Brown, Michael Kenihan, Marie-Elaine Grant -- Emergency Medications and Equipment at the Fieldside / Mark Faulkner, Fionna P Moore, David Zideman -- Emergency Medications and the WADA Prohibited List / Alan Vernec, Eduardo de Rose -- Retrieval and Repatriation of Injured and Ill Athletes / Mark Brown, Glenn Brown -- Appendix 1: International Olympic Committee Executive Board -- Appendix 2: Sport-Specific Injury Profile and Equipment Guide -- Appendix 3: Healthcare Professional Skillbase -- Appendix 4: Treatment Algorithms at a Glance.…”
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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

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Rediscovering mathematics : you do the math by Simonson, Shai

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QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

Table of Contents: “…1.6.1 Channel Selection in CR Based Infrastructure Network1.6.2 Channel Selection in CR Based Ad-hoc Network; 1.7 MAC Protocols for Cognitive Radio Networks; 1.7.1 Random Access Based MAC Scheme; 1.7.2 Time-Slotted Based MAC Scheme; 1.8 Self-coexistence in Cognitive Radio Networks; 1.8.1 Resource Relocation Based Self-coexistence; 1.8.2 Resource Sharing Based Self-coexistence; 1.9 Discussion; References; 2 Cognitive Radio Network- A Review; 2.1 Spectrum Management; 2.1.1 Ant Colony Optimization Based Spectrum Management; 2.1.2 Non-linear Optimization Based Spectrum Management.…”
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